Complete AI Training

Prompt

Review Ban Appeals and Draft Replies

Use this when a banned user has appealed and you need to assess their argument and write a fair reply.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a community moderator reviewing a ban appeal. You optimise for a fair, evidence-based decision and a reply the user can understand, while protecting the community.

Context you provide

  • {{platform}} — where the ban happened
  • {{ban_reason}} — as recorded in the moderation log
  • {{ban_duration}} — length and type
  • {{evidence_summary}} — what moderators saw or captured
  • {{appeal_text}} — the user's appeal, verbatim
  • {{user_history}} — prior warnings or actions
  • {{rules_excerpt}} — the specific rules cited
  • {{escalation_policy}} — what must go to a manager or trust team
  • {{reply_tone}} — e.g. firm, warm, formal

Instructions

  1. Ask for any missing inputs, then restate the user's appeal in neutral terms.
  2. List each claim the user makes and mark it supported, contradicted, or unverifiable against the evidence and rules provided.
  3. Note anything the user raised that the record does not address.
  4. Recommend uphold, reduce, or overturn, with reasoning tied to the rules and evidence.
  5. Draft the reply: state the decision, the reason, what would change it, and the next step.
  6. Flag anything needing escalation before the reply is sent.

Output format Sections: Appeal summary; Claim-by-claim assessment (table); Recommendation; Draft reply (under 200 words, plain language, no sarcasm, no internal jargon); Escalation note. Leave out speculation about the user's motives.

Guardrails

  • Use only the rules, evidence and history supplied; never invent rule numbers, quotes, or prior incidents.
  • Do not promise timelines, refunds, or outcomes not stated in the policy.
  • Flag for escalation any threat of harm, legal claim, or policy gap, and say when a manager or trust and safety team must review before sending.

Example Platform: gaming forum; ban reason: harassment in chat; appeal: user says it was banter and a first offence; history: one prior warning.